Ministry of Health, Labour and Welfare Promotes Operational Efficiency and Optimization of Information Disclosure Services Using Oracle's AI Services

Tokyo ― July 7, 2026

Nippon Oracle Corporation (Headquarters: Minato-ku, Tokyo; President and CEO: Tomomitsu Misawa) announced today that the Public Documents Management and Information Disclosure Office, General Affairs Division, Minister's Secretariat of the Ministry of Health, Labour and Welfare (MHLW) is building "Ministry of Health, Labour and Welfare Organization AI (MOA)," an AI utilization platform for improving the efficiency of information disclosure and related administrative tasks, by leveraging Oracle's AI services such as "Oracle Autonomous AI Database" and "Oracle Cloud Infrastructure (OCI)." The MHLW is progressively developing a semantic search system that can efficiently search for precedents and related documents, and a conversational AI RAG (Retrieval-Augmented Generation) system that supports staff in summarizing documents and drafting responses by utilizing accumulated operational data, targeting disclosure request processing, examination request processing, and deliberation procedure processing.

The Public Documents Management and Information Disclosure Office is required to process administrative tasks appropriately and promptly in response to disclosure requests under the "Act on Access to Information Held by Administrative Organs" and deliberation procedures under the "Administrative Appeals Act." In particular, disclosure request processing involves tasks spanning multiple departments and procedures, including selecting the competent department based on the request content, selecting documents subject to disclosure, confirming precedents for disclosure/non-disclosure decisions, and creating/reviewing notification of decision letters. With the number of requests trending upward year by year and many cases being difficult to handle, accelerating administrative processing has been a challenge.

This AI utilization platform stores document data in various formats on a data foundation centered around "Oracle Autonomous AI Database" and realizes semantic search using vector search. This allows staff to search for past cases and related documents in a manner close to natural language, enabling them to refer to similar precedents and judgment materials more quickly. Furthermore, the conversational AI RAG system, utilizing Oracle's generative AI service "OCI Enterprise AI," supports staff knowledge utilization and document creation, such as document summarization and assistance in drafting responses to requesters.

The user interface utilizes the low-code development environment "Oracle APEX" to efficiently implement applications suitable for operational use. In addition, by combining OCI services such as "OCI Functions" and "OCI Object Storage," a configuration is established that comprehensively supports the storage and search of document data, integration with generative AI, and the execution of business applications.

In terms of security, a dedicated tenant environment for MOA is being built on OCI, which is registered with the Security Evaluation Scheme for Government Information Systems (ISMAP). Furthermore, based on the concept of zero trust outlined in the "Basic Policy on the Proper Use of Cloud Services in Government Information Systems," a multi-layered defense configuration is adopted, implementing security measures at each layer.

During user operation, in addition to multi-factor authentication, access source IP address restrictions based on strict policies and authentication/authorization control through segregation of duties are implemented. Furthermore, a highly secure environment is realized by leveraging OCI's security functions, such as encryption of network communications and stored data. In addition, the data security functions of "Oracle Autonomous AI Database" are utilized to safely store and manage documents and data.

The MHLW is proceeding with AI knowledge training and design/construction from January to March 2026, and the semantic search system was launched in April as the first phase. In the second phase, the implementation of the conversational AI RAG system is underway, aiming for a launch in July. In the future, the addition of support functions for redaction work in disclosed documents is also being considered.

By leveraging OCI's AI services, the MHLW aims to create an environment where staff can concentrate more on tasks such as legal judgments and fulfilling accountability to the public by improving the efficiency of routine and time-consuming tasks like precedent searches and document summarization. This will lead to further improvement of public services through the rationalization and acceleration of operations.

Kazuma Watanabe, Director of the Public Documents Management and Information Disclosure Office, General Affairs Division, Minister's Secretariat of the Ministry of Health, Labour and Welfare, stated:

"In information disclosure and related administrative tasks, it is required to respond appropriately and promptly to the public. On the other hand, with the increase in the number of requests and the increasing complexity of cases, a significant amount of time was spent on coordinating with the competent departments, searching for past cases and related documents, and drafting and reviewing documents.

To address this situation, our office has introduced Oracle's AI utilization platform to improve the efficiency of searching for past cases and related documents, which previously relied on manual effort. By having AI assist in the investigation and organization of past documents, we are creating an environment where staff can focus more on their core duties such as making judgments and fulfilling accountability. In the future, through the conversational AI RAG system that generates document drafts while referring to past cases and related documents, we aim to progressively optimize the entire business process from information retrieval to document creation. It should be noted that final judgments and reviews will continue to be performed by staff. Through this, we aim to provide faster and higher quality administrative services and enhance the trust of the public."

SystemExecute Inc. participated in this project as an implementation partner, and Nippon Oracle's Customer Success Services division also supported the design and construction.

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